Evaluating Scholars' Impact and Influence: Cross-sectional Study of the Correlation Between a Novel Social Media-Based Score and an Author-Level Citation Metric.

BACKGROUND: The development of an author-level complementary metric could play a role in the process of academic promotion through objective evaluation of scholars' influence and impact. OBJECTIVE: The objective of this study was to evaluate the correlation between the Healthcare Social Graph (HSG) score, a novel social media influence and impact metric, and the h-index, a traditional author-level metric. METHODS: This was a cross-sectional study of health care stakeholders with a social media presence randomly sampled from the Symplur database in May 2020. We performed stratified random sampling to obtain a representative sample with all strata of HSG scores. We manually queried the h-index in two reference-based databases (Scopus and Google Scholar). Continuous features (HSG score and h-index) from the included profiles were summarized as the median and IQR. We calculated the Spearman correlation coefficients (ρ) to evaluate the correlation between the HSG scores and h-indexes obtained from Google Scholar and Scopus. RESULTS: A total of 286 (31.2%) of the 917 stakeholders had a Google Scholar h-index available. The median HSG score for these profiles was 61.1 (IQR 48.2), and the median h-index was 14.5 (IQR 26.0). For the 286 subjects with the HSG score and Google Scholar h-index available, the Spearman correlation coefficient ρ was 0.1979 (P<.001), indicating a weak positive correlation between these two metrics. A total of 715 (78%) of 917 stakeholders had a Scopus h-index available. The median HSG score for these profiles was 57.6 (IQR 46.4), and the median h-index was 7 (IQR 16). For the 715 subjects with the HSG score and Scopus h-index available, ρ was 0.2173 (P<.001), also indicating a weak positive correlation. CONCLUSIONS: We found a weak positive correlation between a novel author-level complementary metric and the h-index. More than a chiasm between traditional citation metrics and novel social media-based metrics, our findings point toward a bridge between the two domains.

I Tweet, Therefore I Learn: An Analysis of Twitter Use Across Anesthesiology Conferences.

BACKGROUND: Twitter in anesthesiology conferences promotes rapid science dissemination, global audience participation, and real-time updates of simultaneous sessions. We designed this study to determine if an association exists between conference attendance/registration and 4 defined Twitter metrics. METHODS: Using publicly available data through the Symplur Healthcare Hashtags Project and the Symplur Signals, we collected data on total tweets, impressions, retweets, and replies as 4 primary outcome metrics for all registered anesthesiology conferences occurring from May 1, 2016 to April 30, 2017. The number of Twitter participants, defined as users who contributed a tweet, retweet, or reply 3 days before through 3 days after the conference, was collected. We also collected influencer data as determined by mentions (number of times a user is referenced). Two authors independently verified the categories for influencers assigned by Symplur. Conference demographic data were obtained by e-mail inquiries. Associations between meeting attendees/registrants and Twitter metrics, between Twitter participants and the metrics, and between physician influencers and Twitter participants were tested using Spearman rho. RESULTS: Fourteen conferences with 63,180 tweets were included. With the American Society of Anesthesiologists annual meeting included, the correlations between meeting attendance/registration and total tweets (rs = 0.588; P = .074), impressions (rs = 0.527; P = .117), and retweets (rs = 0.539; P = .108) were not statistically significant; for replies, it was moderately positive (rs = 0.648; P = .043). Without the American Society of Anesthesiologists annual meeting, total tweets (rs = 0.433; P = .244), impressions (rs = 0.350; P = .356), retweets (rs = 0.367; P = .332), and replies (rs = 0.517; P = .154) were not statistically significant. Secondary outcomes include a highly positive correlation between Twitter participation and total tweets (rs = 0.855; P < .001), very highly positive correlations between Twitter participation and impressions (rs = 0.938; P < .001), retweets (rs = 0.925; P < .001), and a moderately positive correlation between Twitter participation and replies (rs = 0.652; P = .044). Doctors were top influencers in 8 of 14 conferences, and the number of physician influencers in the top 10 influencers list at each conference had a moderately positive correlation with Twitter participation (rs = 0.602; P = .023). CONCLUSIONS: We observed that the number of Twitter participants for a conference is positively associated with Twitter activity metrics. No relationship between conference size and Twitter metrics was observed. Physician influencers may be an important driver of participants.

Patient Participation at Health Care Conferences: Engaged Patients Increase Information Flow, Expand Propagation, and Deepen Engagement in the Conversation of Tweets Compared to Physicians or Researchers.

BACKGROUND: Health care conferences present a unique opportunity to network, spark innovation, and disseminate novel information to a large audience, but the dissemination of information typically stays within very specific networks. Social network analysis can be adopted to understand the flow of information between virtual social communities and the role of patients within the network. OBJECTIVE: The purpose of this study is to examine the impact engaged patients bring to health care conference social media information flow and how they expand dissemination and distribution of tweets compared to other health care conference stakeholders such as physicians and researchers. METHODS: From January 2014 through December 2016, 7,644,549 tweets were analyzed from 1672 health care conferences with at least 1000 tweets who had registered in Symplur's Health Care Hashtag Project from 2014 to 2016. The tweet content was analyzed to create a list of the top 100 influencers by mention from each conference, who were then subsequently categorized by stakeholder group. Multivariate linear regression models were created using stepwise function building to identify factors explaining variability as predictor variables for the model in which conference tweets were taken as the dependent variable. RESULTS: Inclusion of engaged patients in health care conference social media was low compared to that of physicians and has not significantly changed over the last 3 years. When engaged patient voices are included in health care conferences, they greatly increase information flow as measured by total tweet volume (beta=301.6) compared to physicians (beta=137.3, P<.001), expand propagation of information tweeted during a conference as measured by social media impressions created (beta=1,700,000) compared to physicians (beta=270,000, P<.001), and deepen engagement in the tweet conversation as measured by replies to their tweets (beta=24.4) compared to physicians (beta=5.5, P<.001). Social network analysis of hubs and authorities revealed that patients had statistically significant higher hub scores (mean 8.26×10-4, SD 2.96×10-4) compared to other stakeholder groups' Twitter accounts (mean 7.19×10-4, SD 3.81×10-4; t273.84=4.302, P<.001). CONCLUSIONS: Although engaged patients are powerful accelerators of information flow, expanders of tweet propagation, and greatly deepen engagement in conversation of tweets on social media of health care conferences compared to physicians, they represent only 1.4% of the stakeholder mix of the top 100 influencers in the conversation. Health care conferences that fail to engage patients in their proceedings may risk limiting their engagement with the public, disseminating scientific information to a narrow community and slowing flow of information across social media channels.

Social Media and Professional Development for Oncology Professionals.

The use of social media continues to increase in health care and academia. Health care practice, particularly the oncologic field, is constantly changing because of new knowledge, evidence-based research, clinical trials, and government policies. Therefore, oncology trainees and professionals continue to strive to stay up-to-date with practice guidelines, research, and skills. Although social media as an educational and professional development tool is no longer completely new to medicine and has been embraced, it is still under-researched in terms of various outcomes. Social media plays several key roles in professional development and academic advancement. We reviewed the literature to evaluate how social media can be used for professional development and academic promotion of oncology professionals.

Organizing Online Health Content: Developing Hashtag Collections for Healthier Internet-Based People and Communities.

Twitter use has increased among patients with cancer, advocates, and oncology professionals. Hashtags, a form of metadata, can be used to share content, organize health information, and create virtual communities of interest. Cancer-specific hashtags modeled on a breast cancer community, #bcsm, led to the development of a structured set of hashtags called the cancer tag ontology. In this article, we review how these hashtags have worked with the aim of describing our experience from 2011 to 2017. We discuss useful guidelines for the development and maintenance of health-oriented communities on Twitter, including possible challenges to community sustainability and opportunities for future improvement and research.

Blastic Plasmacytoid Dendritic Cell Neoplasm (BPDCN) on Social Media: #BPDCN-Increasing Exposure over Two Years Since Inception of a Disease-Specific Twitter Community.

PURPOSE OF REVIEW: Engagement on social media for professional, healthcare-related communication is rapidly rising around the world. We aimed to better understand the dynamics of a rare disease Twitter hashtag community. RECENT FINDINGS: Twitter has served as a platform for academic discussion, a method for knowledge dissemination directly from medical meetings, and a venue for patient caregiver and support groups. One example of a rare cancer that has seen an increase in available information via Twitter is blastic plasmacytoid dendritic cell neoplasm, or BPDCN. This field has recently experienced a new wave of interest from various healthcare stakeholders in light of key new scientific breakthroughs and novel clinical trials now starting to be available. In order to bring all relevant healthcare stakeholders together, the investigators of this article created a disease-specific Twitter community: #BPDCN = "blastic plasmacytoid dendritic cell neoplasm on social media" which has led to higher levels of engagement and discussion in the field. This article focuses on our analysis of advanced Twitter user-metrics in the second year of #BPDCN and discusses future directions for this rare cancer online disease community.

The Needs of Women Treated for Ovarian Cancer: Results From a #gyncsm Twitter Chat.

PURPOSE: Ovarian cancer is the most fatal of all gynecologic cancers, with a high relapse rate regardless of stage. Women treated for ovarian cancer, therefore, likely have supportive care needs that extend well beyond the time frame of first-line therapy. Unfortunately, there is minimal data describing these needs. The purpose of this qualitative study is to understand the supportive care needs of women with ovarian care at the end of treatment. METHODS: To better understand the issues faced by women with ovarian cancer, we conducted a public Twitter chat in collaboration with gynecologic cancer social media (#gyncsm). Both quantitative and qualitative analyses were performed. RESULTS: The chat occurred over a 1-hour time frame on Twitter and resulted in more than 300 unique and original tweets from 43 participants during the chat and an additional 60 unique participants following the chat. Survivors and physicians represented 32% and 11% of participants, respectively; caregivers, advocates, and other clinicians represented the remaining participants. Participants noted deep interest in receiving support during survivorship and dissatisfaction with currently available resources. Sentiment analysis showed that participants viewed the support from social media in a positive light and also revealed negative sentiment around the lack of support from health care providers at the end of treatment. CONCLUSIONS: Themes derived from the Twitter chat revealed the unique experiences of individuals with ovarian cancer after treatment, including a heightened sense of vulnerability. Understanding these themes represents an opportunity for clinicians to better understand and address the needs of this patient community.

Analysis of First-Year Twitter Metrics of a Rare Disease Community for Blastic Plasmacytoid Dendritic Cell Neoplasm (BPDCN) on Social Media: #BPDCN.

PURPOSE OF REVIEW: The use of Twitter, one of the most commonly engaged social media platforms in the world, is increasing among the general public. Notably, this trend has also been observed among those involved in the healthcare field. With its ability to readily connect diverse groups of stakeholders in a given area of interest, Twitter has become a focal point for those involved in increasing awareness and information exchange in orphan disease fields. Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare, aggressive hematologic malignancy with generally poor long-term outcomes for adult patients and no standard therapeutic guidelines. Coupled with its low incidence rate, the disease has experienced a number of name changes over the past three decades (e.g., blastic NK cell lymphoma, CD4+CD56+ hematodermic tumor), thereby historically resulting in difficulties in its clinico-pathologic diagnosis and treatment approaches. All of these factors have led to a striking gap in terms of accurate information available to patients and the general public. Therefore, there is an urgent need for the development of more venues for the dissemination of information, particularly online, for this rare cancer. RECENT FINDINGS: In this context, we began the Twitter medical community, #BPDCN, over a year ago, to help fill this information void. Now, completing its first year of existence, we aimed to analyze the metrics of Twitter use in order to better understand and to describe the characteristics and reach in of #BPDCN, and to determine the feasibility of starting and maintaining a disease-specific hashtag community in a particularly rare cancer.

Rare Cancers and Social Media: Analysis of Twitter Metrics in the First 2 Years of a Rare-Disease Community for Myeloproliferative Neoplasms on Social Media-#MPNSM.

PURPOSE OF REVIEW: The use of social media has now become a standard means of communication for many individuals worldwide. The use of one specific form of social media, Twitter, has increased among healthcare providers, both as a means of information gathering and as a conduit for original content creation. Recently, major efforts by users have been put forward to help streamline the unprecedented amount of information that can be found on Twitter. These efforts have led to the creation of diseasespecific hashtag (#) medical communities and have greatly enhanced the ability to understand and better categorize the available data on Twitter. Specifically, for those involved in rare cancer fields, adhering to organically designed and consistently used hashtags has led to the rapid, reliable dissemination of information and the ability to efficiently discuss and debate topics of interest in the field. For the field of myeloproliferative neoplasms (MPNs), the creation of #MPNSM (myeloproliferative neoplasms on social media) in 2015 has facilitated interactions among healthcare stakeholders from all over the world in the MPN field. RECENT FINDINGS: In order to better understand the trends and topics of interest to Twitter users of this novel medical community, we conducted the present analysis which focuses on Twitter analytics from the first two years of #MPNSM. In this analysis, we observed a sustained increase in the number of Twitter users, number of tweets, number of impressions, and number of retweets over time, demonstrating the feasibility of creating and maintaining a disease-specific hashtag for a rare cancer over time.

Risks and benefits of Twitter use by hematologists/oncologists in the era of digital medicine.

Twitter use by physicians, including those in the hematology-oncology field, is increasing. This microblogging platform provides a means to communicate and collaborate on a global scale. For the oncology professional, an active Twitter presence provides opportunities for continuing medical education, patient engagement and education, personal branding, and reputation management. However, because Twitter is an open, public forum, potential risks such as patient privacy violations, personal information disclosures, professionalism lapses, and time management need to be considered and managed. The authors have summarized the benefits and risks of Twitter use by the hematology-oncology physician. In addition, strategies to maximize benefit and minimize risk are discussed, and resources for additional learning are provided.

Social Media and Myeloproliferative Neoplasms (MPN): Analysis of Advanced Metrics From the First Year of a New Twitter Community: #MPNSM.

The social media platform Twitter has provided the hematology/oncology community with unprecedented, novel methods of interpersonal communication and increased ability for the dissemination of important updates in a rapidly moving field. The advent, and subsequent success, of disease-specific Twitter communities have further enabled interested healthcare stakeholders to become quickly organized around a unique set of rare medical conditions, such as hematologic malignancies, that, historically, generally lack large amounts of reliable online information. One example is the Twitter community #MPNSM (myeloproliferative neoplasms on social media), which was started approximately one and half years ago and has served as a recognized venue for discussion among many members of the MPN community, including patients, researchers, providers, and advocacy organizations. This article will focus on understanding the impact of the founding of this community via the analysis of advanced Twitter metrics of user experience, from the first year of use for this novel healthcare hashtag.